2016 ICDM 10-Year Highest-Impact Paper Award

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IEEE International Conference on Data Mining series has established itself as one of the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences.  Data mining is among the main technological cornerstones of the emergent applications that may catalyze major societal advancements.

ICDM 2016, the 16th conference in this series, aims to promote novel, high quality research findings, and innovative solutions to challenging data mining problems, and thus advance the state-of-the-art in data mining.

We are privileged to sponsor the 2016 ICDM 10-Year Highest-Impact Paper Award. This award recognizes the paper published in ICDM 2007 that has had the highest impact in the intervening decade.

The ICDM Awards committee has decided to give the 2016 award to the paper written by Robert M. Bell and Yehuda Koren: Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights. This paper enhances the neighborhood-based approach to collaborative filtering, a technique frequently employed in the recommender systems for predicting user preferences for products and services. The paper also evaluates the proposed methods on the Netflix dataset, where they deliver significantly better results than the commercial Netflix Cinematch recommender system.

The list of award winners from the prior conferences is available here.

Congratulations Robert and Yehuda!

hat_tipRicardo Baeza-Yates & ICDM 2016 Awards Committee